Summary
United Arab Emirates University (UAEU), through its College of Information Technology, is seeking a Postdoctoral Fellow for a UAEU Strategic Research funded project on machine-learning-assisted metamaterials for terahertz photonics. The fellow will develop machine-learning models to predict and optimize metamaterial parameters and validate results using electromagnetic simulations. The work also includes supporting experimental verification and collaborating with interdisciplinary research teams. Applicants need a relevant Ph.D., research experience applying machine learning or deep learning to physical systems, and a strong publication record.
The posting
As published on uaeu.ac.ae. Pulled from the employer's site and shown as they wrote it.
Job description
The College of Information Technology (CIT), United Arab Emirates University (UAEU), invites applications for a Postdoctoral Fellow to work on a UAEU Strategic Research funded project titled:
“Development of Machine Learning Assisted Metamaterials for Terahertz Photonics Applications.”
The project focuses on the design, optimization, fabrication, and characterization of terahertz (THz) metamaterials using machine learning, deep learning, generative AI, and inverse design approaches. The postdoctoral fellow will play a key role in developing ML models for predicting and optimizing metamaterial parameters, validating results through electromagnetic simulations, and supporting experimental verification.
Minimum qualification
Ph.D. in Computer Science, Information Technology, Artificial Intelligence, or a closely related field
Expected skills
- Research experience in machine learning / deep learning applied to physical systems
- Knowledge of metamaterials, photonics, or electromagnetic simulations
- Experience with Python and ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow)
- Familiarity with inverse design, generative AI, or multi-output regression models
- Experience working with simulation-driven datasets
- Strong publication record in peer-reviewed journals or conferences
- Ability to work in interdisciplinary and international research teams
Department
Information Systems &Security -CCAI
College or division
College of Computing and AI.-(CCAI)